Published In : IJCSN Journal Volume 8, Issue 3

Date of Publication : June 2019

Pages : 305-310

Figures :04

Tables : --

 

Nancy Arya : Department of Computer Science, Banasthali Vidyapith Rajasthan, India.

Sunita Choudhary : Department of Computer Science, Banasthali Vidyapith Rajasthan, India.

S. Taruna : Department of Computer Science, JK Lakshmipat University Rajasthan, India.

 

Mobile Computing, Offloading, Runtime Offloading, Energy Optimization

Traditional models have worked to speed up the execution and save the energy for local mobile devices. It is very important for the resource aspects. However, every model has its own benefits and limitations. In the paper, the author has proposed a novel technique for offloading the computational tasks by improving the performance and efficiency of energy. This work used the concept of benchmarking of the computational task before actual execution of the task and on the basis of the estimated value for time and energy, the final decision has taken for offloading. The decision depends on less energy consumption. The results of experiment clearly shows that the proposed work gives better results for energy efficiency and performance. The work has carried out by the execution of complex application of high complexity such as matrix multiplication. For the large matrix size, achieved efficiency around 93.1% for execution time and 96.2% for energy which proves the higher efficiency. The results of the proposed work are then compared to the results of existing framework and shows better efficiency in energy optimization.

 

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